This just illustrates the major limitation of ML: Access to reliable training data. A machine that has no concept of internal reasoning can never be truly trusted to solve novel problems, and novel problems, from minor issues to very complex ones, are solved in a bunch of professions every day. That’s what drives our world forward. If we rely too heavily on AI to solve problems for us, the issue of obtaining reliable training data to train future AI’s will only expand. That’s why I currently don’t think AI’s will replace large swaths of the work force, but to a larger degree be used as a tool by the humans in the workforce.
One of the advantages of hydrogen is that tanks and fuel cells can withstand a large number of “charging cycles” much better than batteries. Additionally, for ships, the amount of energy needed to move is so enormous that I fear we’ll have a hard time creating batteries that are feasible for long-distance shipping.
For short distance ferrying (including large, car carrying ferries) on the other hand, Norway has already implemented quite a few electric stretches. The major issue there is building the infrastructure to charge the ferries.